streaming asr server using paddlespeech_server/client

demos/streaming_asr_server/server.sh

 export CUDA_VISIBLE_DEVICE=0,1,2,3
+ export CUDA_VISIBLE_DEVICE=0,1,2,3
 
-nohup python3 punc_server.py --config_file conf/punc_application.yaml > punc.log 2>&1 &
+# nohup python3 punc_server.py --config_file conf/punc_application.yaml > punc.log 2>&1 &
+paddlespeech_server start --config_file conf/punc_application.yaml &> punc.log &
 
-nohup python3 streaming_asr_server.py --config_file conf/ws_conformer_application.yaml > streaming_asr.log 2>&1 &
+# nohup python3 streaming_asr_server.py --config_file conf/ws_conformer_application.yaml > streaming_asr.log 2>&1 &
+paddlespeech_server start --config_file conf/ws_conformer_application.yaml &> streaming_asr.log  &
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demos/streaming_asr_server/test.sh

@@ -2,7 +2,9 @@
 wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav 
 
 # read the wav and pass it to only streaming asr service
-python3 websocket_client.py --server_ip 127.0.0.1 --port 8290 --wavfile ./zh.wav
+# python3 websocket_client.py --server_ip 127.0.0.1 --port 8290 --wavfile ./zh.wav
+paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8290 --input ./zh.wav
 
 # read the wav and call streaming and punc service
-python3 websocket_client.py --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --wavfile ./zh.wav
+# python3 websocket_client.py --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --wavfile ./zh.wav
+paddlespeech_client asr_online --server_ip 127.0.0.1 --port 8290 --punc.server_ip 127.0.0.1 --punc.port 8190 --input ./zh.wav
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